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OP13.02: Deep learning for automated assessment of MUSA‐related adenomyosis features on 2D transvaginal ultrasound

Year: 2026

Type: conference-abstract

Source: Ultrasound in Obstetrics and Gynecology

DOI: 10.1002/uog.70305_197

Authors: M. Levin, M. Vali, S. Weiss, S. Vali, M. Thum, P. Lio, S. Johnson

Institutions: University of Cambridge, University of Roehampton, Hillingdon Hospitals NHS Foundation Trust, Hillingdon Hospital, University Hospital Southampton NHS Foundation Trust

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7204800706

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